A data-driven Stackelberg game approach applied to analysis of strategic bidding for distributed energy resource aggregator in electricity markets

Lei, Zhenxing; Liu, Mingbo; Shen, Zhijun; Lu, Wentian; Lu, Zhilin

doi:10.1016/j.renene.2023.118959

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…The key lies in coordinating the interactions between EV/HFCV owners and charging stations/HRSs. As discussed previously, aggregators would be helpful in this regard because they enable local energy production and local energy exchange by managing flexible loads on the energy user side of a PDN and the DERs on the energy supply side in a unified manner when participating in day-ahead energy and reserve markets [128,129]. Examples of private aggregators include online ride-hailing platforms such as Drip and Uber.…”

Section: Market Design and Policy Makingmentioning

confidence: 99%

A comprehensive survey of low‐carbon planning and operation of electricity, hydrogen fuel, and transportation networks

Zhou,

Chen,

Chen

2024

IET Energy Syst Integration

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The trend of global energy systems towards carbon neutrality has led to an escalating interdependency between electricity, hydrogen fuel, and transportation networks. However, the means of surmounting the many challenges confronting the optimal coupling and coordination of electric power, hydrogen fuel, and transportation systems are not sufficiently understood to guide modern infrastructure planning operations. The present work addresses this issue by surveying the extant literature, relevant government policies, and future development trends to evaluate the present state of technology available for coordinating these systems and then determine the most pressing issues that remain to be addressed to facilitate future trends. On the one hand, the users of transportation networks represent flexible consumers of electric power and hydrogen fuel for those connected via devices such as electric vehicles and hydrogen fuel cell vehicles through charging stations and hydrogen refuelling stations. On the other hand, power grids can mitigate the negative effect of random charging behaviours on grid security through time‐of‐use electricity pricing, while excess renewable energy outputs can be applied to generate hydrogen fuel. The findings of this overview offer support for infrastructure planning and operations. Finally, the most urgent issues requiring further research are summarised.

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Section: Market Design and Policy Makingmentioning

confidence: 99%

A comprehensive survey of low‐carbon planning and operation of electricity, hydrogen fuel, and transportation networks

Zhou,

Chen,

Chen

2024

IET Energy Syst Integration

View full text Add to dashboard Cite

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Optimization of offshore wind farm cluster transmission system topology based on Stackelberg game

Tao,

Jiang

2024

Sustainable Energy, Grids and Networks

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Trading strategy for virtual power plant clusters based on a multi-subject game model

Wan,

Wen,

Tang

et al. 2023

JCM

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With the rapid development of renewable energy and the continuous growth of new loads, VPP has become an important form of smart grid and energy internet due to its flexible and effective management of distributed energy. During the operation of Virtual power plant, there is a game relationship between the system operator and VPP, and they are in a non-complete information environment. However, most of the current game optimization modeling is under the condition of complete information, and the game model based on complete information cannot solve this problem. This article focuses on the VPP cluster trading problem based on non-complete information game theory, constructs a Bayesian game model for multiple VPPs with multiple subjects under the master-slave game framework by introducing the Bayesian concept to optimize the cluster transactions within VPPs, and verifies the effectiveness of the model through simulation experiments. The experimental results show that the multi-VPP multi-subject Bayesian game model established in the study can guarantee the privacy of each subject and effectively reduce PAR, thus ensuring the security and stability of the VPP network and reducing cost expenditures, which has practicality in actual VPP cluster transactions.

show abstract

A data-driven Stackelberg game approach applied to analysis of strategic bidding for distributed energy resource aggregator in electricity markets

Cited by 3 publications

References 32 publications

A comprehensive survey of low‐carbon planning and operation of electricity, hydrogen fuel, and transportation networks

A comprehensive survey of low‐carbon planning and operation of electricity, hydrogen fuel, and transportation networks

Optimization of offshore wind farm cluster transmission system topology based on Stackelberg game

Trading strategy for virtual power plant clusters based on a multi-subject game model

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